LS4003 R worksheet 2
Sleep quality
Introduction to the data
For this worksheet, you will need the Sleep_health_and_lifestyle_dataset.csv file from the Canvas page.
This dataset contains values for sleep quality and lifestyle factors. This is artificial data generated for illustrative purposes
This dataset contains the following information:
| Column | Data |
|---|---|
| Age | Age of the individual |
| Sex | Sex of the individual (Male/Female) |
| Occupation | Occupation of the individual |
| sleepduration | Average length of sleep (hours) |
| sleepquality | Average sleep quality score |
| activitylevel | Value assigned based on average level of physical activities (minutes/day) |
| stress | Self-rated score of how stressed the individual feels |
| heartrate | Resting heartrate of individual (beats per minute) |
| steps | Average number of steps taken per day |
![© [Rudzhan] / Adobe Stock](sleep_image.jpeg)
The task
The task for this worksheet is to determine if there are any correlations in the dataset and what they are.
You should plot any correlations you find on a graph, such as the one below:
Example of generated graph
A graph showing the correlation between sleep duration and resting heart rate, separated by sex.
There are lots of different variables in this dataset so do explore - what can you find out?
Extension task
Correlation doesn’t always equal causation - and Spurious correlations has many examples to prove this.
If you go to the website and click on a correlation, you should get a table with the raw data.
You can then: 1. Copy and paste this table into excel 2. Save your excel spreadsheet as a CSV file 3. Read the CSV in R 4. Plot and test the correlations
Note
It may not be as straightforward as you’d think to copy the data from the table and get this into R.
You might find that R doesn’t like spaces in column or row titles - or that your columns and rows are the wrong way around.
